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Young-Sik Kim
Young-Sik Kim
Professor, Depart. Electrical Engineering and Computer Science, DGIST
Verified email at dgist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network
JW Lee, HC Kang, Y Lee, W Choi, J Eom, M Deryabin, E Lee, J Lee, ...
IEEE Access 10 (1), 30039 - 30054, 2022
1842022
Fast digital TRNG based on metastable ring oscillator
I Vasyltsov, E Hambardzumyan, YS Kim, B Karpinskyy
International Workshop on Cryptographic Hardware and Embedded Systems, 164-180, 2008
1772008
Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Convolutions
E Lee, JW Lee, J Lee, YS Kim, Y Kim, JS No, W Choi
Proceedings of Machine Learning Research 162 (1), 2022
74*2022
High-Precision Bootstrapping of RNS-CKKS Homomorphic Encryption Using Optimal Minimax Polynomial Approximation and Inverse Sine Function
JW Lee, E Lee, Y Lee, YS Kim, JS No
EUROCRYPT 2021 12696, 618-647, 2021
722021
New McEliece cryptosystem based on polar codes as a candidate for post-quantum cryptography
SR Shrestha, YS Kim
2014 14th International Symposium on Communications and Information …, 2014
522014
New family of p-ary sequences with optimal correlation property and large linear span
JW Jang, YS Kim, JS No, T Helleseth
IEEE transactions on information theory 50 (8), 1839-1843, 2004
502004
High-Precision Bootstrapping for Approximate Homomorphic Encryption by Error Variance Minimization
Y Lee, J Lee, YS Kim, Y Kim, JS No, HC Kang
EUROCRYPT 2022 13275, 551-580, 2022
492022
New design of low-correlation zone sequence sets
YS Kim, JW Jang, JS No, H Chung
IEEE Transactions on Information Theory 52 (10), 4607-4616, 2006
462006
Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data
J Lee, E Lee, JW Lee, Y Kim, YS Kim, JS No
IEEE Access 11 (1), 62062-62076, 2023
452023
On the autocorrelation distributions of Sidel'nikov sequences
YS Kim, JS Chung, JS No, H Chung
IEEE transactions on information theory 51 (9), 3303-3307, 2005
452005
New quaternary sequences with ideal autocorrelation constructed from binary sequences with ideal autocorrelation.
JW Jang, YS Kim, SH Kim, JS No
Information Theory, 2009. ISIT 2009. IEEE International Symposium on, 278-281, 2009
442009
Cross-Correlation Distribution of -ary -Sequence of Period and Its Decimated Sequences by
EY Seo, YS Kim, JS No, DJ Shin
IEEE Transactions on Information Theory 54 (7), 3140-3149, 2008
432008
New construction of quaternary sequences with ideal autocorrelation from Legendre sequences.
YS Kim, JW Jang, SH Kim, JS No
Information Theory, 2009. ISIT 2009. IEEE International Symposium on, 282-285, 2009
422009
New Families of -Ary Sequences With Low Correlation Constructed From Sidel'nikov Sequences
YS Kim, JS Chung, JS No, H Chung
IEEE Transactions on Information Theory 54 (8), 3768-3774, 2008
422008
Efficient Local Secret Sharing for Distributed Blockchain Systems
Y Kim, RR Kiran, YS Kim, LR Varshney, NR Shanbhag
IEEE Communications Letters 23 (2), 282-285, 2019
412019
Minimax Approximation of Sign Function by Composite Polynomial for Homomorphic Comparison
E Lee, JW Lee, JS No, YS Kim
IEEE Transactions on Dependable and Secure Computing 2022 (1), 2022
382022
New quaternary sequences with optimal autocorrelation
YS Kim, JW Jang, SH Kim, JS No
Information Theory, 2009. ISIT 2009. IEEE International Symposium on, 286-289, 2009
382009
Near-Optimal Partial Hadamard Codebook Construction Using Binary Sequences Obtained From Quadratic Residue Mapping
S Hong, H Park, JS No, T Helleseth, YS Kim
IEEE Transactions on Information Theory 60 (6), 3698 - 3705, 2014
372014
A Secure Information Transmission Scheme with a Secret Key Based on Polar Coding
YS Kim, JH Kim, SH Kim
IEEE Communications Letters 18 (6), 937-940, 2014
332014
New reversible data hiding scheme using lattices
YS Kim, K Kang, DW Lim
Applied Mathematics & Information Sciences 9 (5), 2627-2636, 2015
282015
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Articles 1–20